Global Distillation in an Era of Climate Change

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Project Hydra: Designing & Building a Reusable Framework for Multipurpose, Multifunction, Multi-institutional Repository-Powered Solutions

4th International Conference on Open RepositoriesThis presentation was part of the session : Fedora User Group PresentationsDate: 2009-05-20 03:30 PM – 05:00 PMThere is a clear business need in higher education for a flexible, reusable application framework that can support the rapid development of multiple systems tailored to distinct needs, but powered by a common underlying repository. Recognizing this common need, Stanford University, the University of Hull and the University of Virginia are collaborating on "Project Hydra", a three-year effort to create an application and middleware framework that, in combination with an underlying Fedora repository, will create a reusable environment for running multifunction, multipurpose repository-powered solutions. This paper details the collaborators' functional and technical design for such a framework, and will demonstrate the progress made to date on the initiative.JIS

A model for measuring the health burden of classic congenital adrenal hyperplasia in adults

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.Aim: Patients with classic Congenital Adrenal Hyperplasia (CAH) have poor health outcomes. In the absence of a comprehensive observational study, this manuscript provides a model to estimate the lifetime disease burden of adults with classic CAH. Methods: The model, built in Excel, comprises sub-domains addressing the health consequences of CAH, and synthesises evidence from clinical and epidemiological studies on health outcomes. Results: The model estimates that adults with classic CAH will implement “sick day rules” (doubling or tripling glucocorticoid and/or use of parenteral therapy) 171 times over their lifetime, and attend hospital for adrenal crisis on 11 occasions. In a population of 1,000, over 200 will die of a condition complicated by adrenal crisis resulting, on average, in a loss of 7 years of life. CAH patients may also suffer from excess CVD events. Treatment with glucocorticoids almost doubles the risk of bone fractures in CAH patients compared to the general population, leading on average to an additional 0.8 fractures per CAH patient over their lifetime. Conclusions: The disease burden model highlights gaps in evidence, particularly regarding intensity of care and adrenal crisis, and the relationship between control of CAH and risks of CVD, osteoporosis, diabetes and infertility. The model can be used for research on the impact of new clinical pathways and therapeutic interventions in terms of clinical events and cost.Funded by: European Commission under the Framework 7 programme. Grant Number: HEALTH-F5-2011-281654Diurnal Limited (UK

e-Assessment for learning? The potential of short-answer free-text questions with tailored feedback

A natural language based system has been used to author and mark short-answer free-text assessment tasks. Students attempt the questions online and are given tailored and relatively detailed feedback on incorrect and incomplete responses, and have the opportunity to repeat the task immediately so as to learn from the feedback provided. The answer matching has been developed in the light of student responses to the questions. A small number of the questions are now in low-stakes summative use, alongside other e-assessment tasks and tutor-marked assignments, to give students instantaneous feedback on constructed response items, to help them to monitor their progress and to encourage dialogue with their tutor. The answer matching has been demonstrated to be of similar or greater accuracy than specialist human markers. Students have been observed attempting the questions and have been seen to respond in differing ways to both the questions themselves and the feedback provided. We discuss features of appropriate items for assessment of this type

Occupational and environmental hazard assessments for the isolation, purification and toxicity testing of cyanobacterial toxins

Cyanobacteria can produce groups of structurally and functionally unrelated but highly potent toxins. Cyanotoxins are used in multiple research endeavours, either for direct investigation of their toxicologic properties, or as functional analogues for various biochemical and physiological processes. This paper presents occupational safety guidelines and recommendations for personnel working in field, laboratory or industrial settings to produce and use purified cyanotoxins and toxic cyanobacteria, from bulk harvesting of bloom material, mass culture of laboratory isolates, through routine extraction, isolation and purification. Oral, inhalational, dermal and parenteral routes are all potential occupational exposure pathways during the various stages of cyanotoxin production and application. Investigation of toxicologic or pharmacologic properties using in vivo models may present specific risks if radiolabelled cyanotoxins are employed, and the potential for occupational exposure via the dermal route is heightened with the use of organic solvents as vehicles. Inter- and intra-national transport of living cyanobacteria for research purposes risks establishing feral microalgal populations, so disinfection of culture equipment and destruction of cells by autoclaving, incineration and/or chlorination is recommended in order to prevent viable cyanobacteria from escaping research or production facilities

Radio galaxies in the 2SLAQ Luminous Red Galaxy survey: II. The stellar populations of radio-loud and radio-quiet LRGs

We present an analysis of the optical spectra of a volume-limited sample of 375 radio galaxies at redshift 0.4<z<0.7 from the 2dF-SDSS Luminous Red Galaxy and QSO (2SLAQ) redshift survey. We investigate the evolution of the stellar populations and emission-line properties of these galaxies. By constructing composite spectra and comparing with a matched sample of radio-quiet sources from the same survey, we also investigate the effect on the galaxy of the presence of an active nucleus. The composite spectra, binned by redshift and radio luminosity, all require two components to describe them, which we interpret as an old and a younger population. We found no evolution with redshift of the age of the younger population in radio galaxies, nor were they different from the radio-quiet comparison sample. Similarly, there is no correlation with radio power, with the exception that the most powerful radio sources (P(1.4) > 10^26 W/Hz) have younger stars and stronger emission lines than the less powerful sources. This suggests that we have located the threshold in radio power where strong emission lines "switch on", at radio powers of around 10^26 W/Hz. Except for the very powerful radio galaxies, the presence of a currently-active radio AGN does not appear to be correlated with any change in the observed stellar population of a luminous red galaxy at z~0.5.Comment: 10 pages, 10 figures and 2 tables, accepted for publication in MNRA

Laboratory practice is central to earlier myeloma diagnosis:Utilizing a primary care diagnostic tool and laboratory guidelines integrated into haematology services

Treatment advances have greatly improved survival, but myeloma is among the worst of all cancers for delayed diagnosis, causing serious morbidities and early deaths. This delay is largely because the symptom profile of myeloma has very low specificity, and in primary care, myeloma is rare. However, initiating the journey to diagnosis simply requires considering myeloma and sending blood to test for monoclonal immunoglobulin. Laboratory tests reliably detect monoclonal immunoglobulin, which is present in 99% of myeloma cases, so why do health care systems have such a problem with delayed diagnosis? The Myeloma UK early diagnosis programme has brought together diverse expertise to investigate this problem, and this article was prepared by the programme's working group for laboratory best practice. It reviews evidence for test requesting, analysis and reporting, for which there is large variation in practice across the United Kingdom. It presents a ‘GP Myeloma diagnostic tool’ and how it can be integrated into laboratory practice alongside a laboratory best practice tool. It proposes improved requesting and integration with haematology services for reporting and interpretation. Here the laboratory has a central role in creating efficient and cost-effective pathways for appropriate and timely bone marrow examination for myeloma diagnosis.<br/

The place of strategic environmental assessment in the privatised electricity industry

The private sector has given relatively little attention to the emergence of strategic environmental assessment (SEA); even recently privatised utilities, where SEA might be deemed particularly appropriate, and whose activities are likely to fall within the scope of the European Union SEA Directive, have shown less interest than might be expected. However, the global trend towards the privatisation of state-owned enterprises makes the adaptation of SEA towards these industries all the more pressing. This paper addresses the place that SEA might take within the electricity sector, taking the privatised UK electricity industry as an example. Particular challenges are posed by the radical restructuring of the industry, designed to introduce competitive behaviour, making the development of comprehensive SEA processes problematic, and requiring SEA to be placed in the context of corporate environmental policy and objectives.</p

Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations

Deep learning (DL) models are increasingly used to forecast water quality variables for use in decision making. Ingesting recent observations of the forecasted variable has been shown to greatly increase model performance at monitored locations; however, observations are not collected at all locations, and methods are not yet well developed for DL models for optimally ingesting recent observations from other sites to inform focal sites. In this paper, we evaluate two different DL model structures, a long short-term memory neural network (LSTM) and a recurrent graph convolutional neural network (RGCN), both with and without data assimilation for forecasting daily maximum stream temperature 7 days into the future at monitored and unmonitored locations in a 70-segment stream network. All our DL models performed well when forecasting stream temperature as the root mean squared error (RMSE) across all models ranged from 2.03 to 2.11°C for 1-day lead times in the validation period, with substantially better performance at gaged locations (RMSE = 1.45–1.52°C) compared to ungaged locations (RMSE = 3.18–3.27°C). Forecast uncertainty characterization was near-perfect for gaged locations but all DL models were overconfident (i.e., uncertainty bounds too narrow) for ungaged locations. Our results show that the RGCN with data assimilation performed best for ungaged locations and especially at higher temperatures (&gt;18°C) which is important for management decisions in our study location. This indicates that the networked model structure and data assimilation techniques may help borrow information from nearby monitored sites to improve forecasts at unmonitored locations. Results from this study can help guide DL modeling decisions when forecasting other important environmental variables